Product Delivery Lead

Overview

Jobs To Be Done

• Lead the end-to-end technical onboarding and implementation of our SaaS solutions for new enterprise customers.
• Serve as the primary bridge between the customer's technical teams and our internal engineering/data teams to define and execute data ingestion strategies.
• Manage complex data requirements, including leading ontology mapping exercises to ensure customer data seamlessly aligns with our AI models.
• Develop, manage, and execute detailed delivery project plans, ensuring timelines, milestones, and customer expectations are consistently met.
• Partner closely with the Business Developer to ensure a smooth handover from the sales cycle and align on strategic customer goals.
• Create repeatable, scalable onboarding playbooks to continuously reduce friction and speed up the delivery lifecycle for future customers.
• Troubleshoot early-stage data integration roadblocks, ensuring a frictionless transition into "business-as-usual" platform usage.

Education Requirements

• Bachelor’s Degree in Computer Science, Information Systems, Engineering, Business Administration, or a related field.
• Certifications in Project Management (e.g., PMP, Prince2, Scrum Master) are highly valued.
• Bonus points for certifications or coursework in Data Engineering, Cloud Architecture, or Database Management.

Experience

• 5+ years of experience in technical delivery, SaaS implementation, solutions architecture, or technical account management.
• Proven track record of successfully onboarding B2B enterprise customers with heavy data integration requirements.
• Hands-on experience navigating data ingestion pipelines, APIs, ETL processes, and complex data mapping/ontology mapping.
• Experience working alongside sales or business development teams in a fast-paced, high-growth tech environment.

Skills And Competencies

• **Delivery Management** : Exceptional project management skills with the ability to herd cats, manage scope creep, and keep complex deployments strictly on schedule.
• **Technical Fluency** : Deep understanding of how data flows between systems. You don't need to write the code, but you must confidently discuss APIs, data ingestion, and ontology mapping with engineers.
• **Product Mastery** : Rapid ability to deeply understand our entire product portfolio and how different modules interact with customer data.
• **Client Management** : Excellent executive presence and communication skills. You can translate highly technical data requirements into clear business outcomes for stakeholders.
• **Problem Solving** : A proactive, "fix-it-first" mentality when dealing with data integration bottlenecks.

Kpis

• **Time-to-Value (TTV):** Reduction in the average number of days from contract signature to the customer's first successful use of AI insights.
• **Onboarding Success Rate:** Percentage of customer implementations delivered on time and within scope.
• **Data Integration Efficiency:** Reduction in manual interventions or rework required during the data mapping and ingestion phases.
• **Customer Satisfaction (CSAT):** High satisfaction scores specifically tied to the onboarding and delivery experience.
• **Playbook Adoption:** Successful creation and internal adoption of standardized delivery processes.

Why Us

Mobility Information

Job Posting End Date